相关实验视频

Updated: Feb 13, 2026

Mouse Kidney Transplantation: Models of Allograft Rejection
16:15

Mouse Kidney Transplantation: Models of Allograft Rejection

Published on: October 11, 2014

21.7K

基于系统性审查和元分析的基础上,开发和验证了肝移植后早期全移植功能障碍的预测模型

Zhihong Zheng1, Shuman Kuang1,2, Zipei Wang1

  • 1Department of General Surgery, Digestive Disease Hospital, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.

International journal of surgery (London, England)
|February 12, 2026
PubMed
概括

一个新的模型预测了肝移植 (LT) 后的早期异位移植功能障碍 (EAD). 它使用诸如捐赠者特征和手术内输血等因素来识别高风险的接受者,改善患者的治疗结果.

关键词:
早期的全移植功能障碍.肝移植 肝移植 肝移植这是一个元分析.预测模型 预测模型

更多相关视频

Development of Obliterative Bronchiolitis in a Murine Model of Orthotopic Lung Transplantation10:01

Development of Obliterative Bronchiolitis in a Murine Model of Orthotopic Lung Transplantation

Published on: July 10, 2012

21.1K
A Rat Orthotopic Renal Transplantation Model for Renal Allograft Rejection06:59

A Rat Orthotopic Renal Transplantation Model for Renal Allograft Rejection

Published on: February 2, 2022

4.5K

相关概念视频

Reliability and Validity01:29

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
14.1K
Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.6K
In Vitro Drug Release Testing: Overview, Development and Validation01:10

In Vitro Drug Release Testing: Overview, Development and Validation

In vitro dissolution and drug release tests assess how quickly and how much of a drug is released from its dosage form into an aqueous medium under standardized laboratory conditions. These tests are essential tools in pharmaceutical development and quality assurance, offering insight into the drug's performance before clinical use.During formulation development, dissolution testing identifies incomplete or inconsistent drug release issues. It also supports decisions on selecting the optimal...
367
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries
46.1K
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
15.3K